Arkaplan Veri Süresinin Konuşmacı Doğrulama Performansına Etkisi
Gaussian mixture models with universal background model (GMM-UBM) and vector quantization with universal background model (VQ-UBM) are the two well-known classifiers used for speaker verification. Generally, UBM is trained with many hours of speech from a large pool of different speakers. In this st...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Bursa Uludag University
2013-04-01
|
| Series: | Uludağ University Journal of The Faculty of Engineering |
| Subjects: | |
| Online Access: | http://mmfdergi.uludag.edu.tr/article/view/5000082467 |